Guides
Everything we have written,
in one place.
Written from production, not from technology watching. What works, what breaks, and the order in which to do things.
01
Understand
How it works, without marketing
AI agent An AI agent is not a chatbot that talks better Agentic AI Agentic AI: when the system does the work instead of describing it Sovereignty AI sovereignty: what gets decided is where your data runs MCP MCP: a protocol so the model can call your functions MCP MCP server: what it contains, and where the work is RAG RAG, and the five places it breaks in production AI agent cost What an AI agent costs, item by item Audit AI audit: what to establish before writing a line of code Building an AI agent How to build an AI agent that reaches production Integrating an AI agent Integrating an AI agent into your SaaS, under your brand Measuring an AI agent Measuring an AI agent's performance, before and after go-live Securing an AI agent Securing an AI agent that acts inside your software
02
See cases
What an agent really does, with client evidence
Recruitment and matching AI recruitment matching: parse, match, explain Scoring and evaluation AI scoring: what separates a useful score from a decorative number Bank reconciliation Reconciling bank transactions, without a black box Data assistant Querying your data in plain language, without writing a query Customer support Answering support tickets, citing the source OCR and documents Document intelligence: OCR is only the first step
03
Decide
What you need before committing
Comparison Agency, platform, freelancer or in-house: which for what Comparison RAG vs fine-tuning: not two answers to the same problem AI agency for software vendors Choosing an AI agency when you build software Cegid XRP Flex An AI agent that operates Cegid XRP Flex Odoo An AI agent that works inside Odoo Pipedrive An AI agent that works inside Pipedrive Sage An AI agent that works inside Sage Salesforce An AI agent that acts inside Salesforce SAP An AI agent that works inside SAP
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